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docs: update all READMEs for harness trading release
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‎README.md‎

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<br>
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<img src="https://img.shields.io/badge/Skills-69-orange" alt="Skills">
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<img src="https://img.shields.io/badge/Swarm_Presets-29-7C3AED" alt="Swarm">
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<img src="https://img.shields.io/badge/Tools-21-0F766E" alt="Tools">
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<img src="https://img.shields.io/badge/Tools-27-0F766E" alt="Tools">
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<img src="https://img.shields.io/badge/Data_Sources-5-2563EB" alt="Data Sources">
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<br>
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<a href="https://github.com/HKUDS/.github/blob/main/profile/README.md"><img src="https://img.shields.io/badge/Feishu-Group-E9DBFC?style=flat-square&logo=feishu&logoColor=white" alt="Feishu"></a>
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## 📰 News
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- **2026-04-16** 🧠 **Agent Harness**: Persistent cross-session memory, FTS5 session search, self-evolving skills (full CRUD), 5-layer context compression, read/write tool batching. 27 tools, 107 new tests.
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- **2026-04-15** 🤖 **Z.ai + MiniMax**: Z.ai provider ([#35](https://github.com/HKUDS/Vibe-Trading/pull/35)), MiniMax temperature fix + model update ([#33](https://github.com/HKUDS/Vibe-Trading/pull/33)). 13 providers.
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- **2026-04-14** 🔧 **MCP Stability**: Fixed backtest tool `Connection closed` error on stdio transport ([#32](https://github.com/HKUDS/Vibe-Trading/pull/32)).
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- **2026-04-13** 🌐 **Cross-Market Composite Backtest**: New `CompositeEngine` backtests mixed-market portfolios (e.g. A-shares + crypto) with shared capital pool and per-market rules. Also fixed swarm template variable fallback and frontend timeout.
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Vibe-Trading is an AI-powered multi-agent finance workspace that turns natural language requests into executable trading strategies, research insights, and portfolio analysis across global markets.
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### Key Capabilities:
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• **Strategy Generation** — Automatically writes trading code from your ideas<br>
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• **Smart Data Access** — 5 data sources with automatic fallback; zero-config for all markets<br>
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• **Performance Testing** — Tests your strategies against historical market data<br>
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• **Multi-Platform Export** — One-click convert strategies to TradingView, 通达信/同花顺/东方财富, and MT5<br>
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• **Expert Teams** — Deploys specialized AI agents for complex research tasks<br>
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• **Live Updates** — Watch the entire analysis process in real-time
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• **Natural Language → Strategy** — Describe an idea; the agent writes, tests, and exports trading code<br>
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• **5 Data Sources, Zero Config** — A-shares, HK/US, crypto, futures & forex with automatic fallback<br>
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• **29 Expert Teams** — Pre-built multi-agent swarm workflows for investment, trading & risk<br>
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• **Cross-Session Memory** — Remembers preferences and insights; creates & evolves reusable skills<br>
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• **7 Backtest Engines** — Cross-market composite testing with statistical validation & 4 optimizers<br>
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• **Multi-Platform Export** — One-click to TradingView, TDX (通达信/同花顺), and MetaTrader 5
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<h3>🔍 DeepResearch for Trading</h3>
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<img src="https://img.shields.io/badge/69_Skills-FF6B6B?style=for-the-badge&logo=bookstack&logoColor=white" alt="Skills" /><br><br>
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<div align="left" style="font-size: 4px;">
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• Multi-domain analysis coverage across markets<br>
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• Auto strategy and signal generation<br>
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• Macro economic research and insights<br>
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• Natural-language task routing via chat
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• 69 specialist skills with persistent cross-session memory<br>
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• Self-evolving: agent creates & refines workflows from experience<br>
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• 5-layer context compression — no info lost in long sessions<br>
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• Natural-language task routing across all finance domains
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</div>
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</td>
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<td align="center" width="25%" valign="top">
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<div align="left">
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• 29 out-of-the-box trading team presets<br>
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• DAG-based multi-agent orchestration<br>
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• Real-time decision streaming dashboard<br>
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• Custom team building through YAML
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• Real-time streaming dashboard with live agent status<br>
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• FTS5 session search across all past conversations
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</div>
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</td>
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<td align="center" width="25%" valign="top">
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│ │
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│ ├── src/
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│ │ ├── agent/ # ReAct agent core
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│ │ │ ├── loop.py # main reasoning loop
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│ │ │ ├── skills.py # skill loader (69 SKILL.md files, 7 categories)
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│ │ │ ├── tools.py # tool orchestration
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│ │ │ ├── context.py # system prompt builder
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│ │ │ ├── memory.py # run memory / artifact store
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│ │ │ ├── loop.py # 5-layer compression + read/write tool batching
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│ │ │ ├── context.py # system prompt + auto-recall from persistent memory
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│ │ │ ├── skills.py # skill loader (69 bundled + user-created via CRUD)
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│ │ │ ├── tools.py # tool base class + registry
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│ │ │ ├── memory.py # lightweight workspace state per run
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│ │ │ ├── frontmatter.py # shared YAML frontmatter parser
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│ │ │ └── trace.py # execution trace writer
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│ │ │
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│ │ ├── tools/ # 21 agent tools
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│ │ ├── memory/ # Cross-session persistent memory
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│ │ │ └── persistent.py # file-based memory (~/.vibe-trading/memory/)
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│ │ │
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│ │ ├── tools/ # 27 auto-discovered agent tools
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│ │ │ ├── backtest_tool.py # run backtests
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│ │ │ ├── factor_analysis_tool.py
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│ │ │ ├── options_pricing_tool.py
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│ │ │ ├── pattern_tool.py # chart pattern detection
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│ │ │ ├── doc_reader_tool.py # PDF reader (OCR fallback)
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│ │ │ ├── web_reader_tool.py # web page reader (Jina)
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│ │ │ ├── web_search_tool.py # DuckDuckGo web search
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│ │ │ ├── remember_tool.py # cross-session memory (save/recall/forget)
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│ │ │ ├── skill_writer_tool.py # skill CRUD (save/patch/delete/file)
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│ │ │ ├── session_search_tool.py # FTS5 cross-session search
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│ │ │ ├── swarm_tool.py # launch swarm teams
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│ │ │ └── ... # file I/O, bash, tasks, etc.
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│ │ │ ├── web_search_tool.py # DuckDuckGo web search
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│ │ │ └── ... # bash, file I/O, factor analysis, options, etc.
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│ │ │
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│ │ ├── skills/ # 69 finance skills in 7 categories (SKILL.md each)
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│ │ ├── swarm/ # Swarm DAG execution engine
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│ │ ├── session/ # Multi-turn chat session management
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│ │ ├── session/ # Multi-turn chat + FTS5 session search
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│ │ └── providers/ # LLM provider abstraction
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│ │
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│ ├── backtest/ # Backtest engines
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| Phase | Feature | Status |
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|-------|---------|--------|
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| **Agent Harness** | Persistent cross-session memory (remember / recall / forget) | **Done** |
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| | Self-evolving skills — agent creates, patches, and deletes its own workflows | **Done** |
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| | FTS5 cross-session search across all past conversations | **Done** |
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| | 5-layer context compression (micro → collapse → auto → manual → iterative) | **Done** |
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| | Read/write tool batching — parallel execution for readonly tools | **Done** |
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| **Next Up** | Autonomous research loop — agent iterates hypotheses overnight | In Progress |
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| | IM integration (Slack / Telegram / WeChat) | Planned |
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| **Analysis & Viz** | Options volatility surface & Greeks 3D visualization | Planned |
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| | Cross-asset correlation heatmap with rolling window & clustering | Planned |
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| | Benchmark comparison in CLI backtest output | Planned |
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| | Calmar Ratio & Omega Ratio in backtest metrics | Planned |
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| **Skills & Presets** | Dividend Analysis skill | Planned |
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| | ESG / Sustainable Investing swarm preset | Planned |
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| | Emerging Markets Research Desk swarm preset | Planned |
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| **Portfolio & Optimization** | Advanced portfolio optimizer: leverage, sector caps, turnover constraints | Planned |
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| **Future** | Beginner tutorial: "5-minute natural language backtest" | Planned |
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| **Future** | Strategy marketplace (share & discover) | Exploring |
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| | Live data streaming via WebSocket | Exploring |
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| | Strategy marketplace (share & discover) | Exploring |
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